Question

/*
SET NOCOUNT ON 
CREATE TABLE #tmp(userId INT NOT NULL, productId INT NOT NULL, CONSTRAINT pk_Temp PRIMARY KEY(userid, productId))
DECLARE @u INT = 0
DECLARE @p INT = 0
WHILE @u < 100000
BEGIN
    SET @u = @u + 1
    WHILE @p < 29
    BEGIN

        SET @p = @p + 1
        IF RAND() * 100 < 99
        BEGIN
            INSERT INTO #tmp
            VALUES (@u, @p)     
        END 
    END 
    SET @p = 0
END
SET NOCOUNT OFF 
DROP TABLE #tmp
DROP INDEX ix_TempOne ON #tmp
CREATE NONCLUSTERED INDEX ix_TempOne ON #tmp (userId)
DROP INDEX ix_TempTwo ON #tmp
CREATE NONCLUSTERED INDEX ix_TempTwo ON #tmp (userId) INCLUDE(productId)
DROP INDEX ix_TempThree ON #tmp
CREATE NONCLUSTERED INDEX ix_TempThree ON #tmp (productId)
DROP INDEX ix_TempFour ON #tmp
CREATE NONCLUSTERED INDEX ix_TempFour ON #tmp (productId) INCLUDE (userId)
*/
begin transaction t1
IF OBJECT_ID('tempdb..#tmp2') IS NOT NULL 
    DROP TABLE #tmp2        

DECLARE @date DATETIME = GETDATE()  
SELECT userId INTO #tmp2 FROM #tmp WHERE userId BETWEEN (SELECT FLOOR(RAND() * (100+1)+1)) AND (SELECT FLOOR(RAND() * (100000+1)+1))
SELECT DISTINCT productId FROM #tmp WHERE UserId IN (SELECT UserId FROM #tmp2)
SELECT CAST(DATEDIFF(millisecond, @date, GETDATE()) AS VARCHAR) + ' miliseconds' + CHAR(10)

这是一个示例，类似于我们用来过滤的一个缓存表。

基于结果集（在＃tmp2创建的结果集），我们想知道哪个ProductId仍然适合过滤后的选项。（只是添加了随机部分以创建动态结果集）

当前，我已经在userId和productId上设置了一个主键，并在数据库上具有索引“ TempTwo”和“ TempFour”，但是当我希望该查询小于100毫秒时，该查询通常仍会导致400-1000毫秒的调用

我是否可以更改表的概念或更改收集信息的方式以在100毫秒内获得结果？

该表是一个缓存表，现在仅更新一次。

SQL Faster检查表中有限数量的ID

0 个答案: